Top Software Engineer Jobs in Poland

Lead the technical vision and development of Elasticsearch’s core search infrastructure, including indexing, query execution, retrieval, and relevance. Research search algorithms and data structures, contribute to Lucene, guide technical roadmaps, mentor engineers, and collaborate across teams to build scalable, high-performance distributed search systems.

Set iOS technical direction for a unified multi-market consumer application across several mobile teams. Own architecture, modularization, concurrency adoption, security, build systems, quality standards, and technical roadmaps. Collaborate with product, backend, platform, QA, Android, and other engineering leaders. Drive cross-team technical decisions, mentor senior engineers, resolve disagreements, establish governance, and deliver platform improvements across a large production codebase.

Develop and maintain the satellite onboard software update system, including features, testing, documentation, build infrastructure, packaging, signing, and release integrity controls. Build reproducible cross-compiled embedded Linux artifacts for ARM targets and ensure safe installation on satellites. Collaborate with Linux platform engineers on filesystem layouts, access control, update mechanisms, and secure deployment pipelines.

Develop onboard and ground-control software for autonomous robotic systems. Responsibilities include telemetry, operator interfaces, embedded systems, communication protocols, real-time data and video streaming, GUI development, performance optimization, testing, CI/CD, and debugging distributed robotics systems.

The Staff Software Engineer will design and develop the Collectives Communication Library for AI hardware, lead development efforts, mentor junior engineers, and ensure integration with existing systems.

As a Middle Software Engineer, you will develop software solutions using .NET technologies, collaborate with teams, and ensure code quality and performance.

Productionize AI-built GTM software prototypes into secure, reliable customer-facing applications. Own hosting, environments, CI/CD, secrets, backups, releases, code quality, monitoring, security, staged rollouts, and integrations across CRM, ERP, and internal data systems. Build context infrastructure for GTM and customer-facing agents, reconcile data across systems, collaborate with product and commercial teams, and contribute to Wingtra’s AI engineering practice.

Develop and maintain next-generation system management software for ASTRO mission-critical radio systems. Build modern, intuitive interfaces and robust functionality while collaborating in Scrum teams to keep the Java codebase clean and well organized. The role involves modern Java, Spring Framework, cloud and Kubernetes principles, version control, and potentially PostgreSQL, with opportunities for coaching and professional development.

Build scalable growth-focused software, including onboarding flows, personalization engines, viral loops, experimentation systems, and analytics instrumentation. Collaborate with Product, Design, Marketing, Data Science, and Engineering to improve growth metrics. Develop high-quality frontend or full-stack applications, optimize performance and accessibility, maintain automation and continuous delivery, and apply AI and machine learning to improve engagement, retention, and personalization.

Develop UEM application features for on-premises, cloud-based, and hybrid network management solutions. Build Java backend and frontend components using Spring and Tomcat, work with PostgreSQL databases, and contribute to applications involving network technologies such as SNMP and Kafka.

Build and ship full-stack features for a data intelligence SaaS platform, spanning backend services and frontend interfaces. Use AI coding assistants to accelerate development while applying sound engineering judgment. Participate in architecture discussions, code reviews, testing, incident response, troubleshooting, documentation, and knowledge sharing. Partner with product managers to translate requirements into technical solutions. The role emphasizes SaaS architecture, AWS cloud fundamentals, Docker, Kubernetes, CI/CD, agile delivery, autonomy, and production ownership.

Build and maintain a production-grade iOS application using Swift and SwiftUI, integrating AI features through backend APIs. Design reliable AI interaction patterns, optimize performance, memory, and battery usage, and support streaming, retries, and fallbacks. Collaborate with backend and ML engineers, capture user feedback for AI evaluation, maintain App Store quality, and monitor and resolve production issues.

Design and develop scalable full-stack applications, MVPs, prototypes, backend services, and modern frontend solutions. Integrate APIs, databases, and cloud services while collaborating with product owners, architects, AI engineers, and business stakeholders. Translate innovation concepts into software, support emerging technology experimentation, and follow engineering best practices including testing, code reviews, documentation, and version control. The role supports multiple client-facing projects and requires adaptability and travel as needed.

Lead test strategy and validation for next-generation device drivers and platform tools. Design, build, execute and report component, system and acceptance tests. Debug complex issues across hardware, firmware, drivers and higher software layers. Influence design, guide test infrastructure, mentor engineers, and ensure production quality across the stack.

Design and operate customer-facing networking APIs, Python orchestration control planes, and automation that configures routers across global points of presence. Build resource allocation, job queues, retries, rollback, reconciliation, BGP, WireGuard, GRE, NAT, firewall, DNS, cloud interconnect, and Envoy xDS integrations. Own production monitoring, incident response, billing synchronization, API compatibility, and network configuration drift detection across application and infrastructure layers.

Designs, develops, executes, and automates QA tests for NVIDIA Ethernet switch features and releases. Reviews architecture and requirements, performs regression, performance, functional, and security testing, reports and reproduces bugs, investigates root causes, verifies fixes, and develops Python-based automation frameworks and APIs.

Lead quality validation for virtual networking silicon and software by reviewing designs, developing Python and Pytest automation, executing functional, performance, and security tests, debugging defects, validating fixes, and collaborating with R&D throughout feature development. The role requires deep networking protocol expertise, Linux proficiency, and experience testing technologies including BGP, EVPN, VXLAN, QoS, and RoCE.

Develop and maintain embedded software for smart camera products using C/C++; work on Linux kernel, device drivers, and system services; integrate sensors and vision features; optimize boot, power, and data throughput; collaborate with hardware and algorithm teams; apply AI tools and champion software best practices, testing, and documentation.

Build and scale healthcare patient-facing and care-management applications across the full stack. Develop React and backend services, APIs, PostgreSQL applications, healthcare integrations, asynchronous workflows, and AWS infrastructure. Improve CI/CD, testing, monitoring, security, authentication, authorization, PHI protection, and production reliability. Support payer and HIE integrations, data reconciliation, clinical workflows, and governed AI-enabled functionality while collaborating with Product, Clinical, Operations, and external partners.

Build and support healthcare platform features across React interfaces, backend services, APIs, databases, AWS infrastructure, integrations, and production operations. Develop patient and care-management workflows, payer and healthcare interoperability integrations, resilient asynchronous processing, CI/CD, monitoring, security, PHI protection, and governed AI-enabled workflows. Stabilize production systems, improve testing and deployment practices, and create reusable platform capabilities.

Build and ship high-quality React Native mobile experiences for Kraken’s consumer financial products. Own features end-to-end, from problem discovery and technical design through implementation, launch, measurement, and iteration. Collaborate closely with Product and Design, work with APIs and real-time data, optimize performance and reliability, and contribute to architecture, code reviews, technical discussions, and product strategy.

Design and develop production-grade full-stack applications using TypeScript, JavaScript, React, and Node.js or Deno. Provide technical leadership, establish engineering standards, integrate APIs and SaaS platforms, and contribute to secure, reliable, observable production systems. Mentor engineers, collaborate across product and platform teams, support CI/CD and testing practices, and evaluate emerging and AI-assisted development technologies.

Develop Kubernetes-native AI infrastructure using Go, including inference and training products, controllers, operators, APIs, CLIs, and developer tools. Optimize serverless container workflows, GPU scheduling, workload scaling, reliability, security, and distributed systems performance. Collaborate on cloud-native technologies and Kubernetes ecosystem advancements. Required experience includes Go, Kubernetes development, Kubernetes APIs and CRDs, Docker, Helm, and cloud-native architecture; Python, AI/ML frameworks, GPU optimization, and open-source contributions are preferred.

Design, develop, and maintain secure full-stack applications, APIs, data platforms, integrations, and cloud services supporting financial-sector technology initiatives. Collaborate with financial institutions, technology firms, and researchers to translate industry challenges into solutions. Shape architecture, implement testing and CI/CD, conduct code reviews, troubleshoot issues, and improve performance, security, and reliability.

Seeking a Senior Software Engineer to build AI inference systems. Responsibilities include optimizing GPU kernels, architecting inference stacks, and defining benchmarking methodologies. Requires strong programming skills and experience in ML systems.